Embracing generative artificial intelligence tools in higher education: a survey study at the Hong Kong University of Science and Technology
Generative artificial intelligence has emerged as a powerful technological innovation that is exerting a sweeping influence in the education sector. The rapid diffusion of ChatGPT in universities worldwide presents both opportunities and challenges to higher education policy and administration. This study seeks to examine students’ behavioural and perceptual experiences with the use of ChatGPT at The Hong Kong University of Science and Technology, which was among the first universities worldwide to introduce officially protected ChatGPT services. Launched in November 2023, a university-wide student survey sampled 680 students from both the Hong Kong campus and the Guangzhou campus in Mainland China. The results indicate significant usage of ChatGPT services among the students and a very high level of intention to continue that use. The students perceive ChatGPT to contribute positively to both their learning and career development. Significant variations were found according to gender, level of study, age group, discipline, and country/region of origin, in terms of the students’ experiences with ChatGPT. These results offer useful evidence for curriculum reform and the improvement of students’ AI literacy in higher education institutions.
Authors
- Zhuoni Zhang (ORCID: https://orcid.org/0000-0003-2730-4066)
- Alex Jingwei He (ORCID: https://orcid.org/0000-0001-9024-4831)
- Sean McMinn (ORCID: https://orcid.org/0000-0001-9392-4680)
- Pritish Anand (ORCID: https://orcid.org/0009-0000-6928-8581)
Institutions
- Hong Kong University of Science and Technology (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- Journal of Asian Public Policy
- Published
- 2024-12-28
- DOI
- https://doi.org/10.1080/17516234.2024.2447195
- Citations
- 17
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.04
Funders
- Hong Kong University of Science and Technology